| Predictability of seasonal streamflow and soil moisture in national water model and a humid Alabama–Coosa–Tallapoosa River basin Y Duan, S Kumar Journal of Hydrometeorology 21 (7), 1447-1467, 2020 | 7 | 2020 |
| A hybrid physics–ai model to improve hydrological forecasts Y Duan, S Akula, S Kumar, W Lee, S Khajehei Artificial Intelligence for the Earth Systems 2 (1), e220023, 2023 | 4 | 2023 |
| Evaluation of long‐term temperature trend and variability in CMIP6 multimodel ensemble Y Duan, S Kumar, JL Kinter Geophysical Research Letters 48 (10), e2021GL093227, 2021 | 4 | 2021 |
| Robust changes in North America's hydroclimate variability and predictability S Kumar, CF Dewes, M Newman, Y Duan Earth's Future 11 (4), e2022EF003239, 2023 | 2 | 2023 |
| A revised interpretation of signal-to-noise ratio paradox and its application to constrain regional climate projections Y Duan, S Kumar Environmental Research: Climate, 2024 | | 2024 |
| Quantifying sources of subseasonal prediction skill in CESM2 JH Richter, AA Glanville, T King, S Kumar, SG Yeager, NA Davis, Y Duan, ... npj Climate and Atmospheric Science 7 (1), 59, 2024 | | 2024 |
| A Framework for Developing the Next Generation Interactive Soil Moisture Forecasting System Using the Long-Short Term Memory Model W Lee, S Kumar, Y Duan, I Rangwala 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| Hydroclimate variability and predictability in the Southeastern United States Y Duan | | 2023 |
| Quantifying sources of subseasonal prediction skill J Richter, A Glanville, T King, S Kumar, S Yeager, N Davis, Y Duan, ... | | 2023 |
| Robust Changes in North America's Hydroclimate Variability and Predictability S Kumar, C Dewes, M Newman, Y Duan AGU Fall Meeting Abstracts 2022, A52N-1159, 2022 | | 2022 |
| Land Initializations Contribute Most to the Sub-seasonal Soil Moisture Forecast Skill in the Agricultural Regions of the United States Y Duan, S Kumar, J Richter AGU Fall Meeting Abstracts 2022, A36F-04, 2022 | | 2022 |
| Assessemnt of internal climate variability in CESM2-LE and its comparsion with mutli-model CMIP6 large ensemble Y Duan, S Kumar AGU Fall Meeting Abstracts 2021, GC25P-01, 2021 | | 2021 |
| Streamflow and Soil Moisture Forecast Skills as a Function of the Biophysical Attributes and the Dynamic Soil Moisture Conditions in the National Water Model Y Duan, S Kumar AGU Fall Meeting Abstracts 2020, H195-0015, 2020 | | 2020 |
| Evaluation of Temperature and Precipitation Trends and Long-Term Persistence in CMIP6 Twentieth-Century Climate Simulations Y Duan, S Kumar AGU Fall Meeting Abstracts 2019, GC42E-04, 2019 | | 2019 |
| Potential Predictability of Streamflow and Soil Moisture in a Humid Alabama-Coosa-Tallapoosa River Basin using the National Water Model Y Duan Auburn University, 2019 | | 2019 |
| Processing method of wind data Y Duan, S Yang, W Sun CN Patent CN102,565,879 A, 2012 | | 2012 |
| Highway crosswind warning method Y Duan, C Yuan, Y Bao, Y Shenbin, A Yufei CN Patent CN102,426,399 A, 2012 | | 2012 |
Sanjiv KumarAuburn UniversityVerified email at auburn.edu
